Showing 1 - 15 results of 15 for search 'ELECTRICAL MACHINES', query time: 1.38s Refine Results
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    ..., and a cluttered background. A robust and discriminative representation of insulators in electric power...
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    ... kernel function based SVM (support vector machine) method. Finally, simulation results are given to show...
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    by Qi Teng, Jiaqi Wang, Zeyu Ding, Lei Zhang, Zhenyu Wang
    Published 2020-06-01
    ... of machine learning, which provides new powerful tools to interrogate high dimensional time series data in a...
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    by Danfeng Xie, Lei Zhang, Li Bai
    Published 2017-01-01
    ...Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from...
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    by Tingting Liu, Fangqing Wen, Lei Zhang, Ke Wang
    Published 2019-01-01
    ...Recent advance on signal processing has witnessed increasing interest in machine learning...
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    ... features extracted by conventional machine learning methods. Moreover, the resampling technique (random...
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    ...-DFIG) is defined from the standpoint of a single machine. Based on fuzzy logic controller, an inertia...
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    by Qi Teng, Lei Zhang
    Published 2019-08-01
    ... and predict. On the other hand, machine learning algorithms are based on the data of a solution as it evolves...
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    by Qin Ni, Lei Zhang, Luqun Li
    Published 2018-09-01
    ...;s wrist. The base classifiers selected to form this ensemble are support vector machine (SVM), decision...
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    ... with other methods, i.e., relevance vector machine (RVM), artificial neural network (ANN), and particle swarm...
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